Triplet offline causal discovery based on optimal Markov blanket and its application

Abstract Offline constraint-based causal feature selection (OC-CFS) algorithms are essential for identifying causal relationships from observational data. However, existing methods often suffer from limitations such as low prediction accuracy or high computational cost, particularly when sample size...

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Autori principali:	Waqar Khan, Brekhna Brekhna, Jianqiong Huang, Yajun Xie, Muhammad Suhail Shaikh, Muhammad Sadiq Hassan Zada, Yifan Zheng
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-11-01
Serie:	Scientific Reports
Soggetti:	Offline causal discovery Markov blanket (MB) Bayesian network (BN) High-dimensional
Accesso online:	https://doi.org/10.1038/s41598-025-24421-w
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